Comparative analysis of obstacle avoidance sensors based on assistive intelligent wheel chair

Research Article
Open access

Comparative analysis of obstacle avoidance sensors based on assistive intelligent wheel chair

Chenyu Wang 1*
  • 1 Department of Aeronautical and Aviation Engineering, Hong Kong Polytechnic University, Hong Kong, China    
  • *corresponding author 20075602d@connect.polyu.hk
Published on 31 January 2024 | https://doi.org/10.54254/2755-2721/31/20230116
ACE Vol.31
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-287-9
ISBN (Online): 978-1-83558-288-6

Abstract

With the advent of an aging society and the increase in the number of physically disabled people, the pressure faced by medical escorts is gradually increasing. At the same time, since technology is developing rapidly, how to apply wheelchairs to assist the elderly and the disabled has become an urgent problem at this stage. Among them, intelligent wheelchairs with obstacle avoidance function are gradually improving the daily life of the lower limb disability, and the method of obstacle avoidance for intelligent wheelchairs is mainly based on distance measurement technology, and according to the safe distance to determine whether the obstacle affects the security of operator or not, to effectively avoid crashing and falling. The paper introduces six types of obstacle avoidance methods based on different distance measurement sensors: ultrasonic obstacle avoidance, binocular vision obstacle avoidance, structured light obstacle avoidance, Infrared ranging module based on Triangulation and Time of Flight(TOF) method obstacle avoidance, and Light Detection And Ranging(LiDAR) obstacle avoidance. Then it divides them into two categories based on the different principles of distance measurement, collects various parameter information from the official websites of different brands of various sensors, compares their performance parameters, elaborates the working principles of distance measurement, states the advantages as well as limitations of different kinds of sensors, looks forward to their development direction at the end of this paper.

Keywords:

wheelchair obstacle avoidance, distant sensor, performance analysis

Wang,C. (2024). Comparative analysis of obstacle avoidance sensors based on assistive intelligent wheel chair. Applied and Computational Engineering,31,9-18.
Export citation

References

[1]. Wei, Y., et al. Looking at the population development of China in the new era from the seventh census data. J. Xi'an University of Finance and Economics, 2021, 34 (05): 107-121

[2]. Meng, F. Xu, L. Analysis of aging under China's national development strategy. Industrial Science and Technology Innovation, 2020, 30.

[3]. Liang, D., et al. Research status and development trends of mobile robots. Science and Technology Information, 2014, 09.

[4]. Zhang, D. Research on intelligent obstacle avoidance and control strategy of wheelchair robot for safe use. Shenyang University of Technology, 2022. 000295.

[5]. Bai, C. Research on motion control of unmanned wheelchair based on multi-sensor information fusion. Shandong University of Technology, 2022. 000262.

[6]. Simpson R C, Levine S P. Automatic adaptation in the NavChair Assistive Wheelchair Navigation System. [J]. IEEE Transactions on Rehabilitation Engineering, 1999, 7(4): 452-463.

[7]. https://robotics.sjtu.edu.cn/cpyy/142.html.

[8]. Tian S. Research and implementation of path planning for intelligent wheelchairs based on multi sensor fusion. Tianjin University of Science and Technology, MA thesis. 2021, 2: 2-3.

[9]. Wang G. Research on ultrasonic distance sensor. Heilongjiang University, 2014, 10:20-23.

[10]. Sam V. J., Joris J. J. Dirckx, Real-time structured light profilometry: a review. 2016, 87: 18-31.

[11]. Do Y, Kim J. Infrared Range Sensor Array for 3D Sensing in Robotic Applications. International Journal of Advanced Robotic Systems. 2013, 10(4).

[12]. Ngoc-Thang B., et al. Meas. Sci. Technol. 2022, 33: 075001.

[13]. Luo Z. Research on key technologies of single line omnidirectional Lidar system. Shenzhen University, MA thesis. 2019,01:11.

[14]. Yang F., et al. Simulation analysis of the impact of adverse weather on the performance of frequency modulated continuous wave lidar. Laser and Infrared, 2023,53 (05): 663-669.

[15]. Hu Y. Research on interaction system of mobile service robot for helping the elderly and the disabled based on gesture recognition. Nanjing University of Posts and Telecommunications, 2016, 02: 9.

Cite this article

Wang,C. (2024). Comparative analysis of obstacle avoidance sensors based on assistive intelligent wheel chair. Applied and Computational Engineering,31,9-18.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-287-9(Print) / 978-1-83558-288-6(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.31
ISSN：2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

References

[1]. Wei, Y., et al. Looking at the population development of China in the new era from the seventh census data. J. Xi'an University of Finance and Economics, 2021, 34 (05): 107-121

[2]. Meng, F. Xu, L. Analysis of aging under China's national development strategy. Industrial Science and Technology Innovation, 2020, 30.

[3]. Liang, D., et al. Research status and development trends of mobile robots. Science and Technology Information, 2014, 09.

[4]. Zhang, D. Research on intelligent obstacle avoidance and control strategy of wheelchair robot for safe use. Shenyang University of Technology, 2022. 000295.

[5]. Bai, C. Research on motion control of unmanned wheelchair based on multi-sensor information fusion. Shandong University of Technology, 2022. 000262.

[6]. Simpson R C, Levine S P. Automatic adaptation in the NavChair Assistive Wheelchair Navigation System. [J]. IEEE Transactions on Rehabilitation Engineering, 1999, 7(4): 452-463.

[7]. https://robotics.sjtu.edu.cn/cpyy/142.html.

[8]. Tian S. Research and implementation of path planning for intelligent wheelchairs based on multi sensor fusion. Tianjin University of Science and Technology, MA thesis. 2021, 2: 2-3.

[9]. Wang G. Research on ultrasonic distance sensor. Heilongjiang University, 2014, 10:20-23.

[10]. Sam V. J., Joris J. J. Dirckx, Real-time structured light profilometry: a review. 2016, 87: 18-31.

[11]. Do Y, Kim J. Infrared Range Sensor Array for 3D Sensing in Robotic Applications. International Journal of Advanced Robotic Systems. 2013, 10(4).

[12]. Ngoc-Thang B., et al. Meas. Sci. Technol. 2022, 33: 075001.

[13]. Luo Z. Research on key technologies of single line omnidirectional Lidar system. Shenzhen University, MA thesis. 2019,01:11.

[14]. Yang F., et al. Simulation analysis of the impact of adverse weather on the performance of frequency modulated continuous wave lidar. Laser and Infrared, 2023,53 (05): 663-669.

[15]. Hu Y. Research on interaction system of mobile service robot for helping the elderly and the disabled based on gesture recognition. Nanjing University of Posts and Telecommunications, 2016, 02: 9.

For authors
Guide for authors Policies for authors Aims and scope Subscription Open access policy
For editors
Policies for editors Editorial board
For reviewers
Policies for reviewers Privacy policy

Cookies are used by this site.
Copyright © 2024 EWA Publishing, its licensors, and contributors. All rights reserved, including text and data mining, AI training, and similar technologies.